Software Industry Performance: What You Measure Is What You Get

Symons, Charles

doi:10.1109/ms.2009.162

Cited by 10 publications

(7 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…however, few organizations succeed in their implementation [14,67] for the following reasons: a) metrics are based only on quantitative data and, thus, do not consider other factors that affect how plans are evaluated, such as pressure from marketing to deliver the product in the shortest timeframe (even with lower quality); b) metrics' implementation is usually a long process; c) practitioners' viewpoints are not always considered, hence lead to potential conflicts [20]; and d) irrelevant metrics are often defined [67].…”

Section: Problems With Current Methodsmentioning

confidence: 99%

See 1 more Smart Citation

QPLAN: Decision support for evaluating planning quality in software development projects

Féris

Zwikael

Gregor

2017

Decision Support Systems

View full text Add to dashboard Cite

Decisions about whether or not to approve a project plan for execution are critical. A decision to continue with a bad plan may lead to a failed project, whereas requesting unnecessary additional planning for an already high-quality plan may be counterproductive. However, these decisions can be influenced by psychological biases, such as the endowment effect, optimism bias and ambiguity effect, which are enhanced when uncertainty is substantial and information incomplete. As a result, a non-biased model for evaluating the quality of project planning is important to improve planning approval decisions and resource allocation. This paper introduces a novel artifact (QPLAN) that evaluates and improves planning quality, and a case study to demonstrate its effectiveness within a business environment.

show abstract

Section: Problems With Current Methodsmentioning

confidence: 99%

“…Nonetheless, poor performance of software development projects has plagued the IT industry for years [33]. In 2013, for instance, organizations successfully completed only 39 percent of software projects [64], which led to estimated annual losses for the United States (US) and European Union (EU) markets of around US$100 billion each [67].…”

Section: Introductionmentioning

confidence: 99%

QPLAN: Decision support for evaluating planning quality in software development projects

Féris

Zwikael

Gregor

2017

Decision Support Systems

View full text Add to dashboard Cite

show abstract

“…Without considering the service critical real-time status, according to the concept of software performance [7] [8] [9], the relative efficiency of service multiple loads and overheads system reflects the performance of the target service. A common understanding of loads and overheads about software performance is that the larger loads and smaller overheads the better.…”

Section: Figure 1 Multiple Loads and Overheads Of Dmu Servicesmentioning

confidence: 99%

“…To evaluate the efficiency of 0 DMU j , aiming on the efficiency index of 0 DMU j , and subjected to efficiency index of target service DMUj, we construct fractional programming, multiple loads and overheads model of requirements for service invocations as follow. (7) is closed convex cone, Int W 뮷 . In the multi-objective decision problem, the closed cone W embodies the preference for the importance of decision objects.…”

Section: Figure 1 Multiple Loads and Overheads Of Dmu Servicesmentioning

confidence: 99%

Dynamic QoS evaluation for Web Services Using Data Envelopment Analysis on Real-time Status

Wang¹,

Zhang²

2017

IJDTA

View full text Add to dashboard Cite

Service run-status monitoring can provide treal-time status for service QoS evaluation as service properties. In this work, dynamic QoS evaluation for Web services are based on DEA. Proposed methods could be used to analyze real-time status of Web services. DEA-based service performance evaluation is implemented by a multi-objective model, and DEA-based service QoS evaluation is implemented by a multi-objective model with critical real-time status performance. Both models are effective depending on particular argument and validation. Dynamic QoS evaluation for Web services are based on DEA could provide performance and QoS information to service composition.

show abstract

“…Several studies have been carried out to address these issues by proposing and analyzing processes, methods, tools, and best practices [1], [3]- [6]. Despite efforts to increase software productivity, delivering on time and at budget are notoriously poor; and productivity has not shown much improvement over time [7].…”

Section: Introductionmentioning

confidence: 99%

Agile Team Perceptions of Productivity Factors

Melo

Cruzes

Kon

et al. 2011

2011 AGILE Conference

View full text Add to dashboard Cite

Abstract-In this paper, we investigate agile team perceptions of factors impacting their productivity. Within this overall goal, we also investigate which productivity concept was adopted by the agile teams studied. We here conducted two case studies in the industry and analyzed data from two projects that we followed for six months. From the perspective of agile team members, the three most perceived factors impacting on their productivity were appropriate team composition and allocation, external dependencies, and staff turnover. Teams also mentioned pair programming and collocation as agile practices that impact productivity. As a secondary finding, most team members did not share the same understanding of the concept of productivity. While some known factors still impact agile team productivity, new factors emerged from the interviews as potential productivity factors impacting agile teams.

show abstract

Software Industry Performance: What You Measure Is What You Get

Cited by 10 publications

References 2 publications

QPLAN: Decision support for evaluating planning quality in software development projects

QPLAN: Decision support for evaluating planning quality in software development projects

Dynamic QoS evaluation for Web Services Using Data Envelopment Analysis on Real-time Status

Agile Team Perceptions of Productivity Factors

Contact Info

Product

Resources

About